> For the complete documentation index, see [llms.txt](https://hs764.gitbook.io/cee-5735/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hs764.gitbook.io/cee-5735/machine-learning-libraries.md).

# Black Box (ML libraries)

- [Tensorflow](https://hs764.gitbook.io/cee-5735/machine-learning-libraries/tensorflow-and-keras.md): Tensorflow is a popular ML framework developed by Google that makes implementing optimized deep learning models very simple. Popular high-level APIs include Keras and TF Probability.
- [Pytorch](https://hs764.gitbook.io/cee-5735/machine-learning-libraries/pytorch.md): Pytorch is a popular ML framework developed by Facebook. A key difference is its use of dynamic computational graphs, which is beneficial for changing input sizes in NLP, computer vision, etc.
- [Scikit-learn](https://hs764.gitbook.io/cee-5735/machine-learning-libraries/scikit-learn.md): Scikit-learn is a popular ML library with many classification/regression models and data processing functions. However, it's not intended for deep learning since it does not support GPU acceleration.


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